Courses

We currently offer a range of in-person and online training courses in statistics, econometrics, data science, forecasting and more.

All of our courses are hosted by expert certified trainers and research professionals who teach through a mix of demonstrative and practical sessions to provide high-class practical training.

You can register for our courses online. To discuss any of our courses or specific training requirements, please call
+44 (0) 20 8697 3377 .


Real-World Applications of MIDAS Models and Data Aggregation

21 March 2024 Online 1 day (21st March 2024 - 21st March 2024) EViews

Presented by Prof. Alain Hecq, Maastrict University

The course will run online using Zoom.

This course, designed for applied econometricians familiar with the basics (e.g., OLS, R2), introduces the tools and models essential for mastering the challenges of working with diverse data, enabling participants to enhance their forecasting and nowcasting abilities in practical scenarios.

EViews Basics

8 April 2024 Online 1 day (8th April 2024 - 8th April 2024) EViews

Instructor: Prof Lorenzo Trapani

This course offers a foundational exploration of EViews, a leading econometric software.

The course will teach econometrics from an applied perspective and demonstrate techniques using EViews 13 software.

Econometrics of Energy Markets

15 - 16 April 2024 Online 2 days (15th April 2024 - 16th April 2024) Stata

Instructor: Christiane Baumeister, Lambert Family Professor of Economics, University of Notre Dame.

This course seeks to develop a thorough understanding of Bayesian estimation of structural VARs for policy analysis and empirical research

The course will cover recent advances in energy market modelling.

Data Science For Health Researchers: An Introduction to Stata

18 & 19 April 2024 Online 2 days (18th April 2024 - 19th April 2024) Stata

Instructor: Dr. Vincent O'Sullivan (University of Limerick)

This course is for professionals and researchers who are new to Stata. Course participants will be introduced to Stata’s interface and then shown how to manage and prepare datasets for analysis.

Participants will be introduced to two main data analysis tools: linear regression and logistic regression.

Atheoretical Models in EViews

22 April 2024 Online 1 day (22nd April 2024 - 22nd April 2024) EViews

Instructor: Prof Lorenzo Trapani

This course focuses on advanced time series analysis using EViews, emphasizing ARMA and VAR models.

The course will teach econometrics from an applied perspective and demonstrate techniques using EViews 13 software.

An Introduction to Mata

26 April 2024 Online 1 day (26th April 2024 - 26th April 2024) Stata

Instructor: Prof. Philippe Van Kerm, Dept. of Social Sciences, University of Luxembourg and Luxembourg Institute of Socio-Economic Research.

The course is designed to provide participants with a comprehensive understanding of Mata, a powerful matrix programming language integrated within Stata.

This course aims to equip participants with the skills to leverage Mata's capabilities for data analysis, complex operations, ascii file processing and optimization tasks. Through a combination of theoretical explanations, practical examples, and hands-on exercises, participants will gain a solid foundation in using Mata effectively within the Stata environment.

Econometrics of Program Evaluation Using Stata

2 - 3 May 2024 Online 2 days (2nd May 2024 - 3rd May 2024) Stata

Instructor: Dr. Giovanni Cerulli

This course provides an introduction to the econometrics of program evaluation using Stata. After an introduction to counterfactual causality, the course will cover these approaches: Regression adjustment, Matching, Reweighting and Double-robust methods, and Difference-in-differences methods. The course will provide various instructional examples on real datasets using Stata.

ARDL models with EViews: Application to Bank Stress Test Models

9 - 10 May 2024 Online 2 days (9th May 2024 - 10th May 2024) EViews

Instructor: Prof. Christophe Hurlin

The objective of the course is to learn how to model an ARDL and to understand the advantages of this model for the implementation of forecasting models..

At the end of the course, participants will be able to implement cointegration tests in the framework of ARDL models by respecting a rigorous specification approach, to derive an ECM representation of an ARDL, to interpret it economically, and to build forecasts using an ARDL model.

Models for Nonstationarity Variables in EViews

13 May 2024 Online 1 day (13th May 2024 - 13th May 2024) EViews

Instructor: Prof Lorenzo Trapani

This course focuses on advanced time series modelling for non-stationary variables

By the end, participants can confidently model non-stationary variables using EViews in real-world scenarios.

Data Scraping and Analysis in Python and Stata: Techniques and Applications

16 - 17 May 2024 Online 2 days (16th May 2024 - 17th May 2024) Stata

Instructor: Francesco Saverio Stentella Lopes, University of Roma Tre, Rome, Italy

The course will run online using Zoom.

Building tools to access and retrieve data stored in known locations online has always been an important resource for any analyst, non more so than now with vast amounts of data being available. However, accessing this data in formats that is easy to examine is not so straightforward. This course will cover the fundamentals of data scraping using Python libraries and how this data can be brought into Stata for analysis.

An Introduction to Machine Learning using Stata - Co-Developed with Lancaster University

11 - 12 June 2024 Online 2 days (11th June 2024 - 12th June 2024) Stata

Instructor: Dr Giovanni Cerulli, National Research Council of Italy

This course is a primer to machine learning techniques using Stata. Stata owns various packages to perform machine learning, which are poorly known to many Stata users. This course fills this gap by familiarising participants with (and knowledgeable of) Stata's potential to draw knowledge and value from rows of large and possibly noisy data.

After the course, participants are expected to have an improved understanding of Stata potential to perform some of the most used marching learning techniques, thus becoming able to master research tasks including, among others, the above.

2024 Econometrics Summer School, Cambridge

15 - 20 July 2024 University of Cambridge 6 days (15th July 2024 - 20th July 2024) Stata, EViews, OxMetrics

Our 2024 Econometrics Summer School will be held at Wolfson College, University of Cambridge. The School comprises 3x 2-day econometrics short courses delivered by leading Econometricians from the University of Cambridge: Prof. Andrew Harvey, Prof. Sean Holly & Dr. Melvyn Weeks.

The three courses comprising the School are:

  • Microeconometrics and Methods for Machine Learning
  • Macroeconomic Modelling, Machine Learning and Forecasting
  • Linear and Nonlinear Time Series Models and their Applications

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